aiqbench analysis
This research advances bosonic quantum communication by optimizing the transmission of GHZ states over QuMIMO channels using joint GKP encoding and lattice shaping. The study demonstrates that adapting logical lattices to anisotropic noise geometries significantly outperforms standard product processing, particularly when leveraging instantaneous channel state information. These findings provide a critical pathway for scaling multi-mode quantum networks where singular-frame geometry serves as a key resource beyond simple attenuation compensation.
Joint GKP Encoding for GHZ States Transmission over Bosonic Quantum MIMO Channels
arXiv:2610.05992v1 Announce Type: new Abstract: We study transmission of a Greenberger-Horne-Zeilinger (GHZ) state over nonunitary quantum multiple-input multiple-output (QuMIMO) channels using finite-energy Gottesman-Kitaev-Preskill (GKP) encoding. A coupled-mode model describes coherent mixing, mode-dependent attenuation, and Gaussian noise. The transceiver combines programmable passive meshes, quantum-limited MMSE gain, local GKP recovery, and joint classical syndrome decoding. We optimize complex-Givens lattices using instantaneous channel-state information (CSI), current singular values with channel statistics, or statistics alone. Simulations show that joint lattice shaping outperforms product GKP processing. Under coherent-basis drift, full instantaneous CSI improves GHZ-state preservation, whereas singular-value conditioned and fully statistical designs perform similarly because neither resolves the current singular frames. These findings identify singular-frame geometry as a critical resource beyond attenuation knowledge where joint GKP processing adapts the logical lattice and receiver to anisotropic bosonic noise rather than merely inverting multimode mixing.
Abstract:We study transmission of a Greenberger-Horne-Zeilinger (GHZ) state over nonunitary quantum multiple-input multiple-output (QuMIMO) channels using finite-energy Gottesman-Kitaev-Preskill (GKP) encoding. A coupled-mode model describes coherent mixing, mode-dependent attenuation, and Gaussian noise. The transceiver combines programmable passive meshes, quantum-limited MMSE gain, local GKP recovery, and joint classical syndrome decoding. We optimize complex-Givens lattices using instantaneous channel-state information (CSI), current singular values with channel statistics, or statistics alone. Simulations show that joint lattice shaping outperforms product GKP processing. Under coherent-basis drift, full instantaneous CSI improves GHZ-state preservation, whereas singular-value conditioned and fully statistical designs perform similarly because neither resolves the current singular frames. These findings identify singular-frame geometry as a critical resource beyond attenuation knowledge where joint GKP processing adapts the logical lattice and receiver to anisotropic bosonic noise rather than merely inverting multimode mixing.
arXiv:2610.05992 [quant-ph]
(or arXiv:2610.05992v1 [quant-ph] for this version)
https://doi.org/10.48550/arXiv.2610.05992 Focus to learn more arXiv-issued DOI via DataCite (pending registration)
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